- bayesian methods in public health (book chapter from handbook of statistics) ``` three types of independent Binomial sampling. Cross-sectional sampling involves sampling with the goal of making inferences about the proportions of individuals in distinct populations that exhibit a particular characteristic at a particular point in time. For example, suppose there are two types of medical device that can be used for a specific procedure. An experiment is performed to compare the proportions of “successful” procedures under the two types of device. The second type is called prospective cohort sampling. In general, this type involves following one or more groups of individuals through time with the goal of relating an outcome/endpoint, like death from some particular cause, acquisition of a particular disease, or acquisition of a particular infection, etc., to a collection of potential risk factors. In the simplest case, interest would focus on assessing whether the two levels of a binary “exposure” variable were associated with different levels of risk corresponding to the particular outcome/endpoint under study. ``` - [bayesian nonparameteric biostatistics](https://www.researchgate.net/publication/283735377_Bayesian_Nonparametric_Biostatistics) - [dynamic bayesian influenza forecasting in us with hierarchical discrepency](https://projecteuclid.org/journals/bayesian-analysis/volume-14/issue-1/Dynamic-Bayesian-Influenza-Forecasting-in-the-United-States-with-Hierarchical/10.1214/18-BA1117.full)